Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction

article published in 2009

Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines

scholarly article by Setareh Roshan et al published March 2018 in Journal of the Franklin Institute

Advances in extreme learning machines (ELM2012)

An improved methodology for filling missing values in spatiotemporal climate data set

Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space

Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine Learning

article

Data preprocessing and model design for medicine problems

scientific article

Domain Adaption via Feature Selection on Explicit Feature Map

scientific article published in 2018

Double quantization of the regressor space for long-term time series prediction: method and proof of stability.

scientific article published on October 2004

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines

scientific article published in September 2016

Efficient Parallel Feature Selection for Steganography Problems

Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks

Ensemble delta test-extreme learning machine (DT-ELM) for regression

Extreme Learning Machine on High Dimensional and Large Data Applications

Extreme Learning Machine: A Robust Modeling Technique? Yes!

Extreme Learning Machines [Trends & Controversies]

Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables

scientific article published on 22 December 2017

Extreme learning machine towards dynamic model hypothesis in fish ethology research

article

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine

Fast variable selection for memetracker phrases time series prediction

Feature selection for nonlinear models with extreme learning machines

Functional Dimension Reduction for Chemometrics

GPU-accelerated and parallelized ELM ensembles for large-scale regression

Gaussian basis functions for chemometrics

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

article by Anton Akusok et al published 2015 in IEEE Access

Long-term prediction of time series using NNE-based projection and OP-ELM

article

Long-term time series prediction using OP-ELM.

scientific article

Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning

OP-ELM: Theory, Experiments and a Toolbox

OP-ELM: optimally pruned extreme learning machine

scientific article published on 8 December 2009

OP-KNN: Method and Applications

Particle Swarm Optimization Based Selective Ensemble of Online Sequential Extreme Learning Machine

RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement

Regularized extreme learning machine for regression with missing data

Reliable Steganalysis Using a Minimum Set of Samples and Features

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database

TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization

article published in 2011